Model learning pipeline

This code implements the model pipeline.

Files

• model.py: a class for models
• model_loop.py: a class for running a loop of classifiers; takes test-train data splits and various run params
• run.py: this code implements the model_loop class; it also implements our re-sampling of the data
• run.sh: this code runs the full model pipeline; it contains the specifications to alter the operation of the code
• transform_features.py: this file executes all feature generation

To Run

Make any desired edits to the run.sh file and execute the following in bash:

    chmod +x run.sh
    ./run.sh